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Review

Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing

Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
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Academic Editor: Carlo Canali
Appl. Sci. 2022, 12(2), 937; https://doi.org/10.3390/app12020937
Received: 24 November 2021 / Revised: 13 December 2021 / Accepted: 24 December 2021 / Published: 17 January 2022
(This article belongs to the Special Issue Smart Robots for Industrial Applications)
Industrial robots and associated control methods are continuously developing. With the recent progress in the field of artificial intelligence, new perspectives in industrial robot control strategies have emerged, and prospects towards cognitive robots have arisen. AI-based robotic systems are strongly becoming one of the main areas of focus, as flexibility and deep understanding of complex manufacturing processes are becoming the key advantage to raise competitiveness. This review first expresses the significance of smart industrial robot control in manufacturing towards future factories by listing the needs, requirements and introducing the envisioned concept of smart industrial robots. Secondly, the current trends that are based on different learning strategies and methods are explored. Current computer-vision, deep reinforcement learning and imitation learning based robot control approaches and possible applications in manufacturing are investigated. Gaps, challenges, limitations and open issues are identified along the way. View Full-Text
Keywords: smart industrial robots; cognitive robotics; computer vision; reinforcement learning; imitation learning; synthetic data; simulation; smart manufacturing; future factories; artificial intelligence smart industrial robots; cognitive robotics; computer vision; reinforcement learning; imitation learning; synthetic data; simulation; smart manufacturing; future factories; artificial intelligence
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MDPI and ACS Style

Arents, J.; Greitans, M. Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing. Appl. Sci. 2022, 12, 937. https://doi.org/10.3390/app12020937

AMA Style

Arents J, Greitans M. Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing. Applied Sciences. 2022; 12(2):937. https://doi.org/10.3390/app12020937

Chicago/Turabian Style

Arents, Janis, and Modris Greitans. 2022. "Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing" Applied Sciences 12, no. 2: 937. https://doi.org/10.3390/app12020937

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